Search Results

We study the design and analysis of parallel join algorithms in a topology-aware computational model. In this model, the network is modeled as a directed graph, where each edge is associated with a cost function that depends on the data transferred ...

Graphics processing units (GPUs) show very high performance when executing many parallel programs; however their use in solving linear recurrence equations is considered difficult because of the sequential nature of the problem. Previously developed ...

Image segmentation is a very important step in the computerized analysis of digital images. The maxflow mincut approach has been successfully used to obtain minimum energy segmentations of images in many fields. Classical algorithms for maxflow in ...

Intended as a survey for practicing architects and researchers seeking an overview of the state-of-the-art architectures for data analysis, this paper provides an overview of the emerging data management and analytic platforms including parallel ...

Like all open standards, the Predictive Model Markup Language (PMML) enables interoperability and portability in the world of data mining and predictive analytics. This means that models developed in any environment and tool set can be deployed and used ...

Is this system still fit for purpose? This question becomes critical in a system of systems because many unannounced changes occur throughout the system content and context during its operational life. This challenge arises in multiple usage domains ...

PHASTA falls under the category of high-performance scientific computation codes designed for solving partial differential equations (PDEs). Its a massively parallel unstructured, implicit solver with particular emphasis on fluid dynamics (CFD) ...

In this paper we will identify those aspects of the concurrent computing landscape that have changed since the 1980's and how those changes might impact the efficacy of parallel computing as we move from single- to multi- to many- and to massive numbers ...

The extended Kalman filter (EKF) algorithm has been shown to be advan- tageous for neural network trainings. However, unlike the backpropagation (BP), many matrix operations are needed for the EKF algorithm and therefore greatly increase the ...

A new, scalable interconnection topology called the Spanning Multichannel Linked Hypercube (SMLH) is proposed. This proposed network is very suitable to massively parallel systems and is highly amenable to optical implementation. The SMLH uses the ...

We consider the message routing/broadcasting problem in an optically interconnected massively parallel processing system, where each node in the system sends/broadcasts randomly generated packets to others. The network model considered is the ...

We describe a flexible all-optical interconnect scheme for massively parallel processing, capable of providing 250 channels and an information capacity of 250 Gb/s. Using available and/or demonstrated technologies, we can build fully tunable transmitter ...

Since image processing tasks in machine perception are computationally intensive, massively parallel processing is often employed to exploit the inherent parallelism. Some pioneering researchers have developed massively parallel processing systems ...

Motion estimation plays a key role in video coding.(e.g.,video telephone,MPEG, HDTV) Among the previous motion estimation algorithms, full-search block matching algorithms (BMA) are preferred because of their simplicity and lower control overhead when ...

A new 5 V 0.8 /spl mu/m CMOS technology merges 100 K custom circuits and 4.5 Mb DRAM onto a single die that supports both high density memory and significant computing logic. One of the first chips built with this technology implements a unique ...

The Massively Parallel Processing Project started in 1992 as a priority area of research for the Ministry of Education in Japan. The objective of this research project is to establish the basic technology of massively parallel processing which is ...

A custom chip set implementing a Single Instruction Multiple Data (SIMD) architecture has been designed bringing the benefits of massively parallel processing to the embedded systems domain. A scaled, rapid prototype was first implemented providing an ...

TNet is a new system area network designed to support current and future needs for reliable, efficient communications among processors and peripherals. It is an extensible hardware/software layer that allows very large configurations by logically and ...